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Stock Market Modeling Using Genetic Programming Ensembles
3 references·0 citing·14 second hop
Stock Market Modeling Using Genetic Programming Ensembles (2006)Stock Market Modeling Using Genetic Progr…Modeling Chaotic Behavior of Stock Indices Using Intelligent Paradigms (2004)Modeling Chaotic Behavior of …Modified support vector machines in financial time series forecasting (2002)Modified support vector machi…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support (2002)Real stock trading using soft computing models (2005)Stock Index Modeling using EDA based Local Linear Wavelet Neural Network (2006)From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA (2009)Stock market prediction system with modular neural networks (1990)A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)Introduction to financial forecasting (1996)SVR with hybrid chaotic genetic algorithms for tourism demand forecasting (2010)Online portfolio selection (2014)Time series forecasting for nonlinear and non-stationary processes: a review and comparative study (2015)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)
this work references cited by second hop

References

  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2002Modified support vector machines in financial time series forecasting372 cited
  • 2004Modeling Chaotic Behavior of Stock Indices Using Intelligent Paradigms67 cited

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